Modelling the effects of standard prognostic factors in node-positive breast cancer. German Breast Cancer Study Group (GBSG)
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Ratios of involved nodes in early breast cancer.Modeling the effect of age in T1-2 breast cancer using the SEER database.Survival analysis.Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.Improving the Prognostic Ability through Better Use of Standard Clinical Data - The Nottingham Prognostic Index as an Example.Logical analysis of survival data: prognostic survival models by detecting high-degree interactions in right-censored data.Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation studyEstimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK.Reporting of prognostic markers: current problems and development of guidelines for evidence-based practice in the futureRatio between positive lymph nodes and total excised axillary lymph nodes as an independent prognostic factor for overall survival in patients with nonmetastatic lymph node-positive breast cancer.Primer: an evidence-based approach to prognostic markers.An approach to estimating prognosis using fractional polynomials in metastatic renal carcinoma.Is treatment with interferon-alpha effective in all patients with metastatic renal carcinoma? A new approach to the investigation of interactions.Modelling prognostic factors in advanced pancreatic cancerNo socioeconomic inequalities in colorectal cancer survival within a randomised clinical trial.Impact of GnRH ovarian stimulation protocols on intracytoplasmic sperm injection outcomes.Predictive value of combined cervicovaginal cytokines and gestational age at sampling for intra-amniotic infection in preterm premature rupture of membranes.A new strategy for meta-analysis of continuous covariates in observational studies.Partially linear structure selection in Cox models with varying coefficients.Noninvasive prediction of intra-amniotic infection and/or inflammation in preterm premature rupture of membranes.Modeling the effect of tumor size in early breast cancer.Excess mortality in postmenopausal high-risk women who only receive adjuvant endocrine therapy for estrogen receptor positive breast cancer.Autologous chondrocyte implantation for treatment of cartilage defects of the knee: what predicts the need for reintervention?Ratio between positive lymph nodes and total excised axillary lymph nodes as an independent prognostic factor for overall survival in patients with nonmetastatic lymph node-positive breast cancerNon-parametric Bayesian Intensity Model: Exploring Time-to-Event Data on Two Time Scales
P2860
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P2860
Modelling the effects of standard prognostic factors in node-positive breast cancer. German Breast Cancer Study Group (GBSG)
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
1999年论文
@zh
1999年论文
@zh-cn
name
Modelling the effects of stand ...... east Cancer Study Group (GBSG)
@ast
Modelling the effects of stand ...... east Cancer Study Group (GBSG)
@en
type
label
Modelling the effects of stand ...... east Cancer Study Group (GBSG)
@ast
Modelling the effects of stand ...... east Cancer Study Group (GBSG)
@en
prefLabel
Modelling the effects of stand ...... east Cancer Study Group (GBSG)
@ast
Modelling the effects of stand ...... east Cancer Study Group (GBSG)
@en
P2093
P2860
P356
P1476
Modelling the effects of stand ...... east Cancer Study Group (GBSG)
@en
P2093
P2860
P2888
P304
P356
10.1038/SJ.BJC.6690279
P407
P577
1999-04-01T00:00:00Z